APPLICATION OF SUPERVISED LEARNING
NEURAL NETWORK
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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000 or 110 or 011 or 101
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010 or 100 or 110 or 101
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000 or 010 or 110 or 100
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100 or 111 or 101 or 001
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Detailed explanation-1: -25) A 3-input neuron is trained to output a 0 when the input is 110 and a 1 when the input is 111. After generalization, the output will be 0, when and only when the input is: 000 or 110 or 011 or 101.
Detailed explanation-2: -Every neuron holds an internal state called activation signal. Each connection link carries information about the input signal. Every neuron is connected to another neuron via connection link.
Detailed explanation-3: -Whatever the input values to a sigmoid function are, the output values will be between 0 and 1. Thus, the output of each neuron is normalized into the range 0–1.
Detailed explanation-4: -A 4-input neuron has weights 1, 2, 3 and 4. The transfer function is linear with the constant of proportionality being equal to 2.